Thu.Oct 27, 2022

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The Big Tech Hiring Slowdown Is Here and it will Hurt

The Pragmatic Engineer

This issue was written in Oct 2022, sent out to all subscribers of The Pragmatic Engineer Newsletter in October 2022. The observations on how Big Tech hiring will slow down have since been validated, with Meta not only laying off in November, but also rescinding offers in January 2023, and Amazon doing the same. If you want to get the pulse of the industry in your inbox, subscribe.

IT 130
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Machine Learning on the Edge

KDnuggets

Edge ML involves putting ML models on consumer devices where they can independently run inferences without an internet connection, in real-time, and at no cost.

Insiders

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MIS Executive Salary in 2022: Management Information Systems Job Profile

U-Next

Introduction . An MIS ( Management Information Systems ) executive is responsible for the management of an organization’s computer systems, applications, and networks. This includes overseeing the information technology (IT) department and ensuring that all platforms, including hardware, software, and telecommunications systems, are running smoothly.

Systems 52
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Graphs: The natural way to understand data

KDnuggets

Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs.

Algorithm 101
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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“Stick Little Thermometers in your Data Journeys”

DataKitchen

. Question: What is something the data industry is missing? I think it’s observability-led DataOps. I’ve come to believe that we, as an industry, will not change how people build things they’ve already made. They’re already being Heroes and have pain, unhappiness, and poor results. The first step to enlightenment. The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at va

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In Data We Trust: Data Centric AI

KDnuggets

Learn how data-centric AI can improve your model's overall performance.

Data 116

More Trending

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Motion in Motion: Building an End-to-End Motion Detection and Alerting System with Apache Kafka and ksqlDB

Confluent

How to build a complete motion detection and alerting system to power modern, real-time IoT and data streaming using Confluent.

Systems 52
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How Is It Used: AI in Cloud Computing?

U-Next

Introduction . AI cloud is a promising domain. It has recently gained prominence and has been deployed for various purposes, such as data storage, processing, and software development. The emergence of Artificial Intelligence (AI) has opened new possibilities for cloud computing. . AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving.

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DataKitchen DataOps Observability Technical Product Overview

DataKitchen

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What Is Data Cleaning and Why Is It Necessary?

U-Next

Introduction . You might be wondering, “ what is data cleaning?” It is an integral part of a process where the data needs to be cleaned before it can be used effectively by any organization or business. In recent times, the importance of data has increased exponentially. Data is used not only for storing information but also for many other purposes like processing, analyzing, and then making effective decisions. .

IT 40
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Using Apache Solr REST API in CDP Public Cloud

Cloudera

Abstract. The Apache Solr cluster is available in CDP Public Cloud , using the “Data exploration and analytics” data hub template. In this article we will investigate how to connect to the Solr REST API running in the Public Cloud, and highlight the performance impact of session cookie configurations when Apache Knox Gateway is used to proxy the traffic to Solr servers.

Cloud 81
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What Are a Few Advantages of Fast Tracking Your Career With UNext Jigsaw?

U-Next

Introduction . Since the advent of digital technology, online education has grown tremendously in popularity. The trend is likely to last for a long time. Certificate programs offered online are more flexible and provide career advancement and greater exposure than those offered by conventional colleges. With them, you can enhance your practical skills cost-effectively and conveniently.

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What Are the Major Applications of Cloud Computing in 2022?

U-Next

Introduction . A Cloud Computing service offers various on-demand services over the Internet, such as servers, software, databases, storage, networks, and many others. The many advantages of cloud computing are causing almost every industry to adopt one or more forms of it today. . Each company starts with very few employees and only requires a small database to maintain in the initial years.

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Top AI Techniques and Technologies of 2022-23

U-Next

Introduction . In the 21st century, we have seen significant technological advancements. During the early 2000s, there has been a rapid decline in several highly commercial and trending technologies, and several new ones have taken their place. The year 2022 has also seen several completely new technologies being introduced, especially in the fields of Machine Learning technologies and Artificial Intelligence technologies.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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A Guide on How to Design a Strategy For AI Marketing

U-Next

Introduction . Artificial intelligence in marketing entails using AI technology to automatically make judgments based on accumulated data, analyzed data, and any other observations of audience or economic trends that may affect marketing activities. . AI offers one of the strongest tools to help companies succeed in a more advanced and efficient field, where AI holds the greatest potential. .

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Summary Statistics: Definition and Examples 

U-Next

Introduction to Summary Statistics . What are Summary statistics? A statistics summary gives information about the data in a sample. It can help understand the values better. It may include the total number of values, minimum value, and maximum value, along with the mean value and the standard deviation corresponding to a data collection. With this, you can understand the trends, outliers, and distribution of values in a data set.

Finance 40
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Elaborate in Detail: The Concepts of Innovation Theory

U-Next

Introduction . Innovation is one of the most important aspects of today’s competitive landscape. Leaders of business must constantly seek out new ways to innovate because there is a limitation to the number of problems you can solve with the old solutions. . Every industry relies heavily on innovations ; however, it is crucial that it not be used as just a buzzword but instead understood as a process that should be carefully examined. .

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The 5WHs of Target Market Selection in Marketing

U-Next

Introduction . In today’s world of digital sales, it’s important to understand the power of your target market. This can help you focus on the right customers and ensure that you’re offering products that best fit their needs. It’ll also help you figure out ways to reach out to these people online and through social media platforms like Facebook, Instagram, or Twitter.

Media 52
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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What Is the Import Command in Python? Examples, Tricks, and Tips

U-Next

Introduction . We all know that Python code is more concise and reliable than other languages. But Python is more capable than you might realize. Python offers a variety of shortcuts and techniques that can be used to speed up code execution while also improving the codebase’s accuracy, such as an import command in Python. . This article will discuss tips and tricks that you may immediately use for your Python project.

Python 40
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DevOps Engineer Job Description: Skills, Roles, and Responsibilities

U-Next

Introduction . DevOps Engineers are responsible for developing and operating a company’s applications. You’ll work with different teams across the company to build, test and deploy applications. You’re also responsible for monitoring and improving the performance of applications, as well as working on Continuous Integration (CI), Continuous Delivery (CD), and Continuous Deployment (CDD) processes that automate your workflow between development environments to production system

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Impact of Artificial Intelligence on Text and Speech Recognition Technology

U-Next

Introduction . The development of Artificial Intelligence (AI) and voice recognition has had a profound impact on almost every area of human existence. One technology that has benefited from AI’s ability to streamline processes is speech recognition. We can now convert voicemails to text with this cutting-edge technology. It can also teach your speech so you can issue commands with only your voice.

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A Guide to Building an AI and ML Model Using KNIME and Python

U-Next

Introduction . Software engineers widely use the Python programming language. Since its creation by Guido Van Rossum in 1991, it has consistently been among the most popular programming languages, alongside C, Java, etc. Python has emerged as the clear frontrunner in our efforts to determine the best programming language for Artificial Intelligence and neural networks. .

Python 40
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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What Is Data Structure? Types, Classification, and Applications

U-Next

Introduction . In today’s competitive and challenging world, data is one of the most powerful tools available to businesses and organizations. It helps overcome problems and obstacles, leading to more options and better solutions. . Keeping this data organized and easily accessible is important, but it also brings some hefty demands. If you can’t turn your data into actionable assets, all the data in the world won’t help you make the right business decision. .

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Importance of Data Visualization in AI

U-Next

Introduction . Data visualization aids in the telling of stories by filtering data into a more understandable format, showing patterns and outliers. A good visualization conveys a narrative by reducing noise from data and emphasizing important information. It is the most important aspect for any company. The stats provided below clearly indicate the significance of AI in Data visualization.

Data 52
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Top AWS Solutions Architect Interview Questions and Answers

U-Next

Introduction . Cloud computing is the term used to describe internet data storage and access. It doesn’t store any data on your computer’s hard drive and allows users to access data from faraway servers. The AWS Solutions Architect team is tasked to help customers implement highly scalable, flexible, and resilient cloud technologies. .

AWS 40